Le méthotrexate (MTX), un agent anti-cancéreux fréquemment utilisé en chimiothérapie, requiert généralement un suivi thérapeutique de la médication (Therapeutic Drug Monitoring, TDM) pour surveiller son niveau sanguin chez le patient afin de maximiser son efficacité tout en limitant ses effets secondaires. Malgré la fenêtre thérapeutique étroite entre l’efficacité et la toxicité, le MTX reste, à ce jour, un des agents anti-cancéreux les plus utilisés au monde. Les techniques analytiques existantes pour le TDM du MTX sont coûteuses, requièrent temps et efforts, sans nécessairement fournir promptement les résultats dans le délai requis. Afin d’accélérer le processus de dosage du MTX en TDM, une stratégie a été proposée basée sur un essai compétitif caractérisé principalement par le couplage plasmonique d’une surface métallique et de nanoparticules d’or. Plus précisément, l’essai quantitatif exploite la réaction de compétition entre le MTX et une nanoparticule d’or fonctionnalisée avec l’acide folique (FA-AuNP) ayant une affinité pour un récepteur moléculaire, la réductase humaine de dihydrofolate (hDHFR), une enzyme associée aux maladies prolifératives. Le MTX libre mixé avec les FA-AuNP, entre en compétition pour les sites de liaison de hDHFR immobilisés sur une surface active en SPR ou libres en solution. Par la suite, les FA-AuNP liées au hDHFR fournissent une amplification du signal qui est inversement proportionnelle à la concentration de MTX. La résonance des plasmons de surface (SPR) est généralement utilisée comme une technique spectroscopique pour l’interrogation des interactions biomoléculaires. Les instruments SPR commerciaux sont généralement retrouvés dans les grands laboratoires d’analyse. Ils sont également encombrants, coûteux et manquent de sélectivité dans les analyses en matrice complexe. De plus, ceux-ci n’ont pas encore démontré de l’adaptabilité en milieu clinique. Par ailleurs, les analyses SPR des petites molécules comme les médicaments n’ont pas été explorés de manière intensive dû au défi posé par le manque de la sensibilité de la technique pour cette classe de molécules. Les développements récents en science des matériaux et chimie de surfaces exploitant l’intégration des nanoparticules d’or pour l’amplification de la réponse SPR et la chimie de surface peptidique ont démontré le potentiel de franchir les limites posées par le manque de sensibilité et l’adsorption non-spécifique pour les analyses directes dans les milieux biologiques. Ces nouveaux concepts de la technologie SPR seront incorporés à un système SPR miniaturisé et compact pour exécuter des analyses rapides, fiables et sensibles pour le suivi du niveau du MTX dans le sérum de patients durant les traitements de chimiothérapie. L’objectif de cette thèse est d’explorer différentes stratégies pour améliorer l’analyse des médicaments dans les milieux complexes par les biocapteurs SPR et de mettre en perspective le potentiel des biocapteurs SPR comme un outil utile pour le TDM dans le laboratoire clinique ou au chevet du patient. Pour atteindre ces objectifs, un essai compétitif colorimétrique basé sur la résonance des plasmons de surface localisée (LSPR) pour le MTX fut établi avec des nanoparticules d’or marquées avec du FA. Ensuite, cet essai compétitif colorimétrique en solution fut adapté à une plateforme SPR. Pour les deux essais développés, la sensibilité, sélectivité, limite de détection, l’optimisation de la gamme dynamique et l’analyse du MTX dans les milieux complexes ont été inspectés. De plus, le prototype de la plateforme SPR miniaturisée fut validé par sa performance équivalente aux systèmes SPR existants ainsi que son utilité pour analyser les échantillons cliniques des patients sous chimiothérapie du MTX. Les concentrations de MTX obtenues par le prototype furent comparées avec des techniques standards, soit un essai immunologique basé sur la polarisation en fluorescence (FPIA) et la chromatographie liquide couplée avec de la spectrométrie de masse en tandem (LC-MS/MS) pour valider l’utilité du prototype comme un outil clinique pour les tests rapides de quantification du MTX. En dernier lieu, le déploiement du prototype à un laboratoire de biochimie dans un hôpital démontre l’énorme potentiel des biocapteurs SPR pour utilisation en milieux clinique. / Methotrexate (MTX) cancer therapy requires therapeutic drug monitoring (TDM) for following its levels in a patient during the course of treatment in order to maximize efficacy while minimizing side effects. Despite its narrow therapeutic window, MTX remains until this date, one of the most employed chemotherapy agents. Existing TDM analytical techniques for MTX are costly, time-consuming and labor intensive which are not suitable to promptly generate results within the therapy timeframe. To provide rapid MTX quantification for TDM, a strategy is proposed based on a competitive assay featuring gold nanoparticles and surface plasmonic coupling. More specifically, the inhibition of MTX with its molecular receptor, human dihydrofolate reductase (hDHFR), an enzyme associated with proliferative diseases, is explored. Free MTX mixed with folic acid-functionalized gold nanoparticles (FA-AuNP) are in competition for hDHFR binding sites immobilized on a SPR active surface or free in solution. FA-AuNP binding to hDHFR provides signal amplification which is inversely proportional to the concentration of MTX. Surface plasmon resonance (SPR) is commonly used as a spectroscopic technique for the interrogation of biomolecular interactions. Current commercial SPR instruments are laboratory-based, bulky, expensive, lack sensitivity in complex matrix and have not shown adaptability in clinical settings. In addition, SPR analysis of small molecules such as drugs has not been extensively explored due to lack of sensitivity. The recent advances in materials science and surface chemistry exploiting gold nanoparticle integration for SPR response enhancement and peptide surface chemistry have shown potential in overcoming the poor sensitivity and surface-fouling limitations for crude biofluids analysis. These novel concepts of SPR technology are incorporated with a miniaturized fully integrated SPR prototype to conduct fast, reliable and sensitive analysis to monitor MTX levels of a patient undergoing chemotherapy. The objective of the thesis is to explore different strategies in improving drug analysis in a complex matrix using SPR biosensors and to put in perspective of the potential of SPR biosensors as a useful TDM tool in clinical laboratories or at a point-of-care situation. To achieve these objectives, a colorimetric solution-based MTX competitive assay is first established with FA-AuNP. Then, the solution-based MTX competitive assay is translated onto a SPR platform. For both developed assays, sensitivity, selectivity, detection limit, dynamic range optimization as well as analysis of methotrexate in complex matrix are inspected. Furthermore, the SPR prototype is validated by its equivalent performance to existing SPR systems and by its utility in executing MTX analysis in actual serum samples from patients undergoing chemotherapy. The concentrations of MTX obtained by SPR biosensing are compared to standard techniques: fluorescence polarization immunoassay (FPIA) and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) in order to confirm the feasibility of SPR biosensors as a useful clinical tool for performing rapid MTX concentration evaluation. Finally, the successful deployment of the prototype to a hospital laboratory demonstrates enormous prospective of SPR biosensors in clinical use.

Le méthotrexate (MTX), un agent anti-cancéreux fréquemment utilisé en chimiothérapie, requiert généralement un suivi thérapeutique de la médication (Therapeutic Drug Monitoring, TDM) pour surveiller son niveau sanguin chez le patient afin de maximiser son efficacité tout en limitant ses effets secondaires. Malgré la fenêtre thérapeutique étroite entre l’efficacité et la toxicité, le MTX reste, à ce jour, un des agents anti-cancéreux les plus utilisés au monde. Les techniques analytiques existantes pour le TDM du MTX sont coûteuses, requièrent temps et efforts, sans nécessairement fournir promptement les résultats dans le délai requis. Afin d’accélérer le processus de dosage du MTX en TDM, une stratégie a été proposée basée sur un essai compétitif caractérisé principalement par le couplage plasmonique d’une surface métallique et de nanoparticules d’or. Plus précisément, l’essai quantitatif exploite la réaction de compétition entre le MTX et une nanoparticule d’or fonctionnalisée avec l’acide folique (FA-AuNP) ayant une affinité pour un récepteur moléculaire, la réductase humaine de dihydrofolate (hDHFR), une enzyme associée aux maladies prolifératives. Le MTX libre mixé avec les FA-AuNP, entre en compétition pour les sites de liaison de hDHFR immobilisés sur une surface active en SPR ou libres en solution. Par la suite, les FA-AuNP liées au hDHFR fournissent une amplification du signal qui est inversement proportionnelle à la concentration de MTX. La résonance des plasmons de surface (SPR) est généralement utilisée comme une technique spectroscopique pour l’interrogation des interactions biomoléculaires. Les instruments SPR commerciaux sont généralement retrouvés dans les grands laboratoires d’analyse. Ils sont également encombrants, coûteux et manquent de sélectivité dans les analyses en matrice complexe. De plus, ceux-ci n’ont pas encore démontré de l’adaptabilité en milieu clinique. Par ailleurs, les analyses SPR des petites molécules comme les médicaments n’ont pas été explorés de manière intensive dû au défi posé par le manque de la sensibilité de la technique pour cette classe de molécules. Les développements récents en science des matériaux et chimie de surfaces exploitant l’intégration des nanoparticules d’or pour l’amplification de la réponse SPR et la chimie de surface peptidique ont démontré le potentiel de franchir les limites posées par le manque de sensibilité et l’adsorption non-spécifique pour les analyses directes dans les milieux biologiques. Ces nouveaux concepts de la technologie SPR seront incorporés à un système SPR miniaturisé et compact pour exécuter des analyses rapides, fiables et sensibles pour le suivi du niveau du MTX dans le sérum de patients durant les traitements de chimiothérapie. L’objectif de cette thèse est d’explorer différentes stratégies pour améliorer l’analyse des médicaments dans les milieux complexes par les biocapteurs SPR et de mettre en perspective le potentiel des biocapteurs SPR comme un outil utile pour le TDM dans le laboratoire clinique ou au chevet du patient. Pour atteindre ces objectifs, un essai compétitif colorimétrique basé sur la résonance des plasmons de surface localisée (LSPR) pour le MTX fut établi avec des nanoparticules d’or marquées avec du FA. Ensuite, cet essai compétitif colorimétrique en solution fut adapté à une plateforme SPR. Pour les deux essais développés, la sensibilité, sélectivité, limite de détection, l’optimisation de la gamme dynamique et l’analyse du MTX dans les milieux complexes ont été inspectés. De plus, le prototype de la plateforme SPR miniaturisée fut validé par sa performance équivalente aux systèmes SPR existants ainsi que son utilité pour analyser les échantillons cliniques des patients sous chimiothérapie du MTX. Les concentrations de MTX obtenues par le prototype furent comparées avec des techniques standards, soit un essai immunologique basé sur la polarisation en fluorescence (FPIA) et la chromatographie liquide couplée avec de la spectrométrie de masse en tandem (LC-MS/MS) pour valider l’utilité du prototype comme un outil clinique pour les tests rapides de quantification du MTX. En dernier lieu, le déploiement du prototype à un laboratoire de biochimie dans un hôpital démontre l’énorme potentiel des biocapteurs SPR pour utilisation en milieux clinique. / Methotrexate (MTX) cancer therapy requires therapeutic drug monitoring (TDM) for following its levels in a patient during the course of treatment in order to maximize efficacy while minimizing side effects. Despite its narrow therapeutic window, MTX remains until this date, one of the most employed chemotherapy agents. Existing TDM analytical techniques for MTX are costly, time-consuming and labor intensive which are not suitable to promptly generate results within the therapy timeframe. To provide rapid MTX quantification for TDM, a strategy is proposed based on a competitive assay featuring gold nanoparticles and surface plasmonic coupling. More specifically, the inhibition of MTX with its molecular receptor, human dihydrofolate reductase (hDHFR), an enzyme associated with proliferative diseases, is explored. Free MTX mixed with folic acid-functionalized gold nanoparticles (FA-AuNP) are in competition for hDHFR binding sites immobilized on a SPR active surface or free in solution. FA-AuNP binding to hDHFR provides signal amplification which is inversely proportional to the concentration of MTX. Surface plasmon resonance (SPR) is commonly used as a spectroscopic technique for the interrogation of biomolecular interactions. Current commercial SPR instruments are laboratory-based, bulky, expensive, lack sensitivity in complex matrix and have not shown adaptability in clinical settings. In addition, SPR analysis of small molecules such as drugs has not been extensively explored due to lack of sensitivity. The recent advances in materials science and surface chemistry exploiting gold nanoparticle integration for SPR response enhancement and peptide surface chemistry have shown potential in overcoming the poor sensitivity and surface-fouling limitations for crude biofluids analysis. These novel concepts of SPR technology are incorporated with a miniaturized fully integrated SPR prototype to conduct fast, reliable and sensitive analysis to monitor MTX levels of a patient undergoing chemotherapy. The objective of the thesis is to explore different strategies in improving drug analysis in a complex matrix using SPR biosensors and to put in perspective of the potential of SPR biosensors as a useful TDM tool in clinical laboratories or at a point-of-care situation. To achieve these objectives, a colorimetric solution-based MTX competitive assay is first established with FA-AuNP. Then, the solution-based MTX competitive assay is translated onto a SPR platform. For both developed assays, sensitivity, selectivity, detection limit, dynamic range optimization as well as analysis of methotrexate in complex matrix are inspected. Furthermore, the SPR prototype is validated by its equivalent performance to existing SPR systems and by its utility in executing MTX analysis in actual serum samples from patients undergoing chemotherapy. The concentrations of MTX obtained by SPR biosensing are compared to standard techniques: fluorescence polarization immunoassay (FPIA) and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) in order to confirm the feasibility of SPR biosensors as a useful clinical tool for performing rapid MTX concentration evaluation. Finally, the successful deployment of the prototype to a hospital laboratory demonstrates enormous prospective of SPR biosensors in clinical use.

In the last few years, considerable efforts have been given to develop sensitive and effective sensors for explosive materials and to generate systems which exhibit high luminescence in both solution and solid-state. The increasing number of terrorist activities around the world have prompted scientists to design effective ways to detect and disarm even the trace amount of explosives. The nitroaromatics (NACs) are the common constituents of most of the explosives due to high explosive velocity and ease of availability. The NACs were extensively used as the main constituents in landmines until World War II. Apart from their explosive behavior, the NACs are well-known environmental pollutants. The industrial waste and the leakages from unexploded landmines are the major contributors towards the soil and ground water contamination. Presently for effective detection of trace amount of explosives, skilled canines and metal based detectors are commonly used. The canines are trained for a specific type of explosives which limit their ability to detect different types of substrates. The chemical sensors that work on the principle of colorimetric and/or fluorimetric detection techniques have emerged as suitable alternative due to cheap production cost, portability and sensitivity. Different types of materials including conjugated polymers, metal-organic frameworks (MOFs), and quantum-dots have been reported as efficient chemosensors for NACs. However, poor solubility in the common organic solvents, low solid-state fluorescence, very high molecular weight and lack of signal amplification have restricted the application of these material for in-field testing. Renewed interests have been invested in small molecule based systems; and metal-organic discrete molecular architectures due to precise control over their photophysical properties and the supramolecular interaction among neighboring molecules that facilitates energy migration among the molecular backbone. On the other hand, recently post-synthetic modification of different molecular systems including MOFs and polymers has emerged as a potential technique to incorporate desired functional groups into the system and to tune their properties with the retention of basic structures. Reports on the post-synthetic modification of discrete metal-organic architectures are rare due to the delicate nature of the metal-organic bonds that ruptures on mild environmental changes. Therefore, post-synthetic functionalization of discrete molecular systems using mild reaction conditions will open up a myriad of possibilities to generate new systems with desired characteristics. Chapter 1 of the thesis will briefly discuss the history of different explosive materials including different detection methodologies that are widely used. It will also include a brief discussion on different small molecular systems with high solid-state luminescence. In Chapter 2, design and synthesis of triphenylamine-based two Platinum(Pt)(II) molecules functionalized with carboxylic acid and ester groups including their organic analogues have been discussed. The triphenylamine core was chosen due its unique non-planarity and luminescence. On the other hand, Pt(II) center was incorporated to increase intermolecular spacing in solid-state that can induce high luminescence. Scheme 1. Schematic representation of fluorescence quenching using small molecules. All the four molecules were found to be highly sensitive towards NACs including picric acid and dinitrophenol. Although the molecules exhibited similar sensitivity in solution, the carboxylic acid analogues demonstrated superior sensitivity in solid-state. Careful observation of the crystal structures of the systems revealed the acid analogues were oriented in a 2-D grid-like pattern that facilitated energy migration among neighboring molecules (Scheme 1.). Chapter 3 describes design, synthesis, and NACs sensing behavior of anthracene-based four purely organic small molecules. The molecules exhibited high selectivity towards picric acid only. All the molecules were found to be highly emissive in both solution and solid-state due to the vinylanthracene backbone (Scheme 2.). Scheme 2. Schematic representation of fluorescence quenching and solid-state sensing behavior. Chapter 4 discusses the strategy to develop mechano-fluorochromic and AIE active triphenylamine-based Pt(II) complex and its organic analogue. The twisted triphenylamine backbone restricted molecular close packing in solid-state; and weak C-H-- interactions were utilized to hinder the motion of the phenyl rings. As a result, the molecules were highly emissive in solid-state. Grinding disrupted the intermolecular interactions and thus mechano-fluorochromic behavior was observed. Due to twisted backbone, the molecules were also found to be AIE active. Both the systems containing terminal aldehyde groups were finally utilized for selective detection of biomolecule cysteine (Scheme 3.). Scheme 3. Mechano-fluorochromic and AIE behavior of the triphenylamine based Pt(II) complex. In Chapter 5 vinylanthracene-based linear donor was used in combination with carbazole-based 90° and triphenylamine-based 120° Pt(II) acceptors to generate (4+4) and (6+6) molecular squares and hexagons, respectively. The vinylanthracene backbone imparts high solution and solid-state luminescence to the system as well as made them AIE active. The molecules were further investigated for the solution and solid-state sensing for NACs and found to be effective for trinitrotoluene (TNT) and dinitrotoluene (DNT) (Scheme 4.). Scheme 4. Schematic representation of AIE active molecular square and its NACs sensing. Chapter 6 describes the formation of Pd3 self-assembled molecular trinuclear barrels containing triphenylamine imidazole donors and Pd(II) acceptors. Using Knoevenagel condensation the aldehyde group present in the barrel was post-synthetically functionalized with Meldrum’s acid. From spectroscopic characterization, it was proved that the structural integrity remained intact after the post-modification treatment (Scheme 6.). Surprisingly, pre-synthetic modification of the donor alone with Meldrum’s acid followed by self-assembly treatment with the Pd(II) ion did not yield trigonal barrel 6.8. Scheme 6. Post-synthetic functionalization of trinuclear barrels using Knoevenagel condensation.(For colour pictures pl see the abstract pdf file)

We report the morphological characterization of triisopropylsilylethynyl-dibenzochrysene (TIPS-DBC:PCBM) blends, a bulk heterojunction (BHJ) solar cell system based on a highly crystalline small molecule donor. We found that processing the blends from a volatile solvent such as chloroform is beneficial in controlling the crystal size and phase separation of the donor–acceptor phases. When a less-volatile solvent such as chlorobenzene is used, large crystalline domains formed, exceeding the length scale suitable for BHJ solar cells. When the BHJ films are thermally annealed, enhanced domain purity is observed for the chloroform processed thin films, which led to an increased short circuit current in the devices.

This thesis deals with the device physics of organic solar cells. Organic photovoltaics (OPV) is a field of applied research which has been growing rapidly in the last decade leading to a current record value of power-conversion efficiency of 10 percent. One major reason for this boom is a potentially low-cost production of solar modules on flexible (polymer) substrate. Furthermore, new application are expected by flexible or semitransparent organic solar cells. That is why several OPV startup companies were launched in the last decade. Organic solar cells consist of hydrocarbon compounds, deposited as ultrathin layers (some tens of nm) on a substrate. Absorption of light leads to molecular excited states (excitons) which are strongly bound due to the weak interactions and low dielectric constant in a molecular solid. The excitons have to be split into positive and negative charges, which are subsequently collected at different electrodes. An effective dissociation of excitons is provided by a heterojunction of two molecules with different frontier orbital energies, such that the electron is transfered to the (electron) acceptor and the positive charge (hole) remains on the donor molecule. This junction can be realized by two distinct layers forming a planar heterojunction or by an intermixed film of donor and acceptor, resulting in a bulk heterojunction. Electrodes are attached to the absorber to collect the charges by providing an ohmic contact in the optimum case. This work focuses on the electrical processes in organic solar cells developing and employing a one-dimensional drift-diffusion model. The electrical model developed here is combined with an optical model and covers the diffusion of excitons, their separation, and the subsequent transport of charges. In contrast to inorganics, charge-carrier mobilities are low in the investigated materials and charge transport is strongly affected by energy barriers at the electrodes. The current-voltage characteristics (J-V curve) of a solar cell reflect the electrical processes in the device. Therefore, the J-V curve is selected as means of comparison between systematic series of simulation and experimental data. This mainly qualitative approach allows for an identification of dominating processes and provides microscopic explanations. One crucial issue, as already mentioned, is the contact between absorber layer and electrode. Energy barriers lead to a reduction of the power-conversion efficiency due to a decrease in the open-circuit voltage or the fill factor by S-shaped J-V curve (S-kink), which are often observed for organic solar cells. It is shown by a systematic study that the introduction of deliberate barriers for charge-carrier extraction and injection can cause such S-kinks. It is explained by simulated electrical-field profiles why also injection barriers lead to a reduction of the probability for charge-carrier extraction. A pile-up of charge carriers at an extraction barrier is confirmed by measurements of transient photocurrents. In flat heterojunction solar cells an additional reason for S-kinks is found in an imbalance of electron and hole mobilities. Due to the variety of reasons for S-kinks, methods and criteria for a distinction are proposed. These include J-V measurements at different temperatures and of samples with varied layer thicknesses. Most of the studies of this this work are based on experimental data of solar cells comprisiing the donor dye zinc phthalocyanine and the acceptor fullerene C60. It is observed that the open-circuit voltage of these devices depends on the mixing ratio of ZnPc:C60. A comparison of experimental and simulation data indicates that the reason is a changed donor-acceptor energy gap caused by a shift of the ionization potential of ZnPc. A spatial gradient in the mixing ratio of a bulk heterojunction is also investigated as a donor(acceptor)-rich mixture at the hole(electron)-collecting contact is supposed to assist charge extraction. This effect is not observed, but a reduction of charge-carrier losses at the “wrong” electrode which is seen at an increase in the open-circuit voltage. The most important intrinsic loss mechanism of a solar cell is bulk recombination which is treated at the example of ZnPc:C60 devices in the last part of this work. An examination of the dependence of the open-circuit voltage on illumination intensity shows that the dominating recombination mechanism shifts from trap-assisted to direct recombination for higher intensities. A variation of the absorption profile within the blend layer shows that the probability of charge-carrier extraction depends on the locus of charge-carrier generation. This results in a fill factor dependent on the absorption profile. The reason is an imbalance in charge-carrier mobilities which can be influenced by the mixing ratio. The work is completed by a simulation study of the influence of charge-carrier mobilities and different recombination processes on the J-V curve and an identification of a photoshunt dominating the experimental linear photocurrent-voltage characteristics in reverse bias.:Abstract - Kurzfassung . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v 1 Introduction 1.1 Energy supply and climate change . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Development of (organic) photovoltaics . . . . . . . . . . . . . . . . . . 3 1.3 Structure and scope of this thesis . . . . . . . . . . . . . . . . . . . . . . 6 I Basics 2 Photovoltaic Energy Conversion 2.1 Fundamentals of solar thermal energy conversion . . . . . . . . . . .11 2.1.1 The solar spectrum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.1.2 Black-body irradiation . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14 2.1.3 Maximum power-conversion efficiency . . . . . . . . . . . . . . . . . 15 2.2 Basics of semiconductor physics . . . . . . . . . . . . . . . . . . . . . . 16 2.2.1 Band structure, electrons and holes . . . . . . . . . . . . . . . . . . 16 2.2.2 Quasi-Fermi levels and electrochemical potentials . . . . . . . . . .22 2.3 Transformation of thermal radiation into chemical energy . . . . . 28 2.4 From chemical energy to electrical energy . . . . . . . . . . . .. . . . . 29 2.5 Possible solar-cell realizations . . . . . . . . . . . . . . . . . . . . . . . . 33 2.5.1 The p-n junction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 2.5.2 Heterojunction and dye solar cells . . . . . . . . . . . . . . . . . . . . 36 2.5.3 The p-i-n concept with wide-gap transport layers . . . . . . . . . 37 2.6 Maximum efficiency – Shockley-Queisser limit . . . . . . . . . . . . . .38 2.7 Novel concepts and classification of solar cells . . . . . . . . . . . . . 41 3 Organic Solar Cells 3.1 Energetics of organic molecules . . . . . . . . . . . . . . . . . . . . . . . 43 3.1.1 From atoms to molecules . . . . . . . . . . . . . . . . . . . . . . . . . . 43 3.1.2 From single molecules to a molecular solid . . . . . . . . . . . . . . 50 3.2 Energy and charge transport in organic semiconductors . . . . . . 52 3.2.1 Exciton transport . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 3.2.2 Charge transport - Gaussian disorder model . . . . . . . . . . . . .53 3.3 Working principle of donor-acceptor heterojunction solar cells . .57 3.3.1 Particle losses, quantum efficiency, and photocurrent . . . . . . .57 3.3.2 Energy losses, potential energy, and photovoltage . . . . . . . . 62 3.3.3 Maximum power-conversion efficiency . . . . . . . . . . . . . . . . . 66 3.3.4 Understanding the J-V curve in the MIM picture . . . . . . . . . . .68 3.3.5 Introduction to analytical models describing the photocurrent 70 3.4 Metal-organic interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 3.4.1 Conventional metal-semiconductor interfaces: Barriers and Schottky contacts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 3.4.2 Metal-organic interfaces: Disorder and ICT . . . . . . . . . . . . . . 79 3.5 Experimental realization of small-molecule solar cells . . . . . . . . 80 3.5.1 Stacks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 3.5.2 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .83 3.5.3 Fabrication details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 3.6 Basic characterization methods . . . . . . . . . . . . . . . . . . . . . . . 92 3.6.1 Current-voltage characteristics . . . . . . . . . . . . . . . . . . . . . . 92 3.6.2 Spectrally resolved measurements . . . . . . . . . . . . . . . . . . . 93 3.6.3 Transient measurements . . . . . . . . . . . . . . . . . . . . . . . . . . 95 4 Modeling 4.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 4.2 The drift-diffusion model in general . . . . . . . . . . . . . . . . . . . . 99 4.2.1 Derivation and conditions . . . . . . . . . . . . . . . . . . . . . . . . . . 99 4.2.2 The Einstein Relation . . . . . . . . . . . . . . . . . . . . . . . . . . . . .103 4.2.3 Poisson’s equation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 4.2.4 Differential equation system . . . . . . . . . . . . . . . . . . . . . . . .105 4.3 Implementation of the algorithm . . . . . . . . . . . . . . . . . . . . . . 106 4.3.1 Basics of the algorithm and discretization . . . . . . . . . . . . . . 107 4.3.2 Calculation of the electric field . . . . . . . . . . . . . . . . . . . . . . 108 4.3.3 Calculation of rates of change . . . . . . . . . . . . . . . . . . . . . . 109 4.3.4 Calculation of the time step . . . . . . . . . . . . . . . . . . . . . . . . 111 4.3.5 Detection of steady state and transient currents . . . . . . . . . 111 4.4 Implemented models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 4.4.1 Charge carrier mobility . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 4.4.2 Recombination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 4.4.3 Traps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 4.4.4 Gaussian density of states . . . . . . . . . . . . . . . . . . . . . . . . 120 4.5 Contacts as boundary conditions . . . . . . . . . . . . . . . . . . . . . 121 4.6 Organic-organic interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . 124 4.6.1 Charge transport . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 4.6.2 Generation and recombination . . . . . . . . . . . . . . . . . . . . . . 127 4.7 The simulation tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 4.8 Verification with analytical solutions . . . . . . . . . . . . . . . . . . . 129 4.8.1 Single-carrier devices . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 4.8.2 The p-n junction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 4.9 Experimental determination of material properties . . . . . . . . . 136 4.10 Summary and main input parameters . . . . . . . . . . . . . . . . . 140 II Results and Discussion 5 Simulation Study on Single-Layer Bulk-Heterojunction Solar Cells 5.1 Investigated device structure and definitions . . . . . . . . . . . . . 144 5.2 On the optimum mobility, contact properties, and the open-circuit voltage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 5.2.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .146 5.2.2 Investigated mobility and recombination models . . . . . . . . . .147 5.2.3 Recombination only in the BHJ (selective contacts) . . . . . . . . 149 5.2.4 Recombination (also) at electrodes (non-selective contacts) . .155 5.2.5 Injection barriers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .158 5.2.6 Effect of energy-level bending on the open-circuit voltage . . . 161 5.3 Photocurrent and characteristic points in simulated J-V curves . .163 5.3.1 Negligible bulk recombination . . . . . . . . . . . . . . . . . . . . . . . .164 5.3.2 Bulk-recombination-limited photocurrent . . . . . . . . . . . . . . . 167 5.4 The effect of disorder on the open-circuit voltage . . . . . . . . . . .169 5.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .172 6 Influence of Injection and Extraction Barriers on Open-Circuit Voltage and J-V Curve Shape studied at a Variation of Hole Transport Layer and Donor Materials 6.1 Methodological approach . . . . . . . . . . . . . . . . . . . . . . . . . . . .174 6.2 Current-voltage data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 6.2.1 Fingerprints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 6.2.2 Current-voltage characteristics under illumination . . . . . . . . . 181 6.3 Detailed microscopic explanations . . . . . . . . . . . . . . . . . . . . . .181 6.3.1 Injection barriers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .184 6.3.2 Extraction barriers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .187 6.3.3 Comparison between flat and bulk heterojunction . . . . . . . . . 188 6.4 Current-voltage curves in a logarithmic plot . . . . . . . . . . . . . . .188 6.5 Detailed analysis of the material combination MeO-TPD and BPAPF as donor and hole transport layer . . . . . . . . . . . . . . . . . . . . . . . . . . 190 6.5.1 The interfaces BPAPF/MeO-TPD and MeO-TPD/BPAPF measured by photoelectron spectroscopy . . . . . . . . . . . . . . . . . . . . . . . . . . 190 6.5.2 Dependence of the J-V curve shape on layer thicknesses . . . . 195 6.5.3 Dependence of the S-kink on temperature . . . . . . . . . . . . . . 198 6.5.4 Transient measurements . . . . . . . . . . . . . . . . . . . . . . . . . . 200 6.6 Summary and final remarks . . . . . . . . . . . . . . . . . . . . . . . . . . 207 7 Imbalanced Mobilities causing S-shaped J-V Curves in Planar Heterojunction Solar Cells 7.1 Imbalanced mobilities in simulation . . . . . . . . . . . . . . . . . . . . . 209 7.2 Experimental verification . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214 7.2.1 Current-voltage characteristics . . . . . . . . . . . . . . . . . . . . . . 216 7.2.2 Transient photocurrents . . . . . . . . . . . . . . . . . . . . . . . . . . 219 7.3 Field-dependent exciton dissociation as an additional source of S-kinks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .221 7.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222 8 Open-Circuit Voltage and J-V Curve Shape of ZnPc:C60 Solar Cells with Varied Mixing Ratio and Hole Transport Layer 8.1 Experimental approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . .223 8.2 The open-circuit voltage . . . . . . . . . . . . . . . . . . . . . . . . . . . .225 8.3 The role of the hole transport layer and of doping . . . . . . . . . .228 8.4 Explaining the open-circuit voltage as a function of mixing ratio 230 8.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 9 Effect of Concentration Gradients in ZnPc:C60 Bulk Heterojunction Solar Cells 9.1 Investigated devices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 9.2 Current-voltage results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 9.2.1 Fill factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 9.2.2 Short-circuit current . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242 9.2.3 Open-circuit voltage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242 9.3 Voltage dependent external quantum efficiency data . . . . . . . . 245 9.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .247 10 Role of the Generation Profile and Recombination in ZnPc:C60 Solar Cells 10.1 Idea and solar-cell design . . . . . . . . . . . . . . . . . . . . . . . . . . 249 10.1.1 Absorption data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251 10.1.2 Simulated generation profiles . . . . . . . . . . . . . . . . . . . . . . 253 10.2 Correlation of fill factor with generation profile and imbalance in mobilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255 10.2.1 Current-voltage data . . . . . . . . . . . . . . . . . . . . . . . . . . . 255 10.2.2 Monochromatic J-V curves . . . . . . . . . . . . . . . . . . . . . . . . 258 10.2.3 Voltage dependent external quantum efficiency . . . . . . . . . 259 10.3 Recombination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261 10.3.1 Exponential region of dark J-V curves . . . . . . . . . . . . . . . . 261 10.3.2 J-V data dependent on illumination intensity . . . . . . . . . . . 265 10.3.3 Lifetime of charge carriers . . . . . . . . . . . . . . . . . . . . . . . . 271 10.4 Comparison with simulations . . . . . . . . . . . . . . . . . . . . . . . . 273 10.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278 11 Linear Saturation Behavior 11.1 Definition of the photoshunt . . . . . . . . . . . . . . . . . . . . . . . . 279 11.2 Quasi-linear photocurrent in simulation . . . . . . . . . . . . . . . . 280 11.3 Experimental approach and results . . . . . . . . . . . . . . . . . . . 281 11.3.1 Identification of the main source of the photoshunt . . . . . . 283 11.3.2 Investigation of the thickness dependence of the saturation 285 11.3.3 Photoshunt in flat heterojunction ZnPc/C60 solar cells . . . . 289 11.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292 III Summary and Outlook 12 Main Results 12.1 Interpretation of current-voltage curves . . . . . . . . . . . . . . . . 295 12.2 Stack design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300 12.3 Main conclusions on the applicability of the developed drift-diffusion simulation to organic solar cells . . . . . . . . . . . . . . . . . . . . . . . . . . 302 13 Further Analyses and Possible Extensions of the Simulation 13.1 Frequency response . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305 13.2 Reverse tunneling currents and tandem cells . . . . . . . . . . . . . 307 13.2.1 Reverse current . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 13.2.2 J-V curves of tandem cells . . . . . . . . . . . . . . . . . . . . . . . . 309 13.3 Further points to examine . . . . . . . . . . . . . . . . . . . . . . . . . . 311 Appendix A Lists A.1 List of symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315 A.2 List of abbreviations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318 A.3 List of constants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 B Simulation data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 C Experimental data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335 Acknowledgments - Danksagung 361 / Diese Dissertation beschäftigt sich mit der Physik organischer Solarzellen. Die organische Photovoltaik ist ein Forschungsgebiet, dem in den letzten zehn Jahren enorme Aufmerksamkeit zu Teil wurde. Der Grund liegt darin, dass diese neuartigen Solarzellen, deren aktueller Rekordwirkungsgrad bei 10 Prozent liegt, ein Potential für eine kostengünstige Produktion auf flexiblem (Polymer)substrat aufweisen und aufgrund ihrer Vielfältigkeit neue Anwendungsbereiche für die Photovoltaik erschließen. Organische Solarzellen bestehen aus ultradünnen (einige 10 nm) Schichten aus Kohlenwasserstoffverbindungen. Damit der photovoltaische Effekt genutzt werden kann, müssen die durch Licht angeregten Molekülzustände zu freien Ladungsträgern führen, wobei positive und negative Ladung an unterschiedlichen Kontakten extrahiert werden. Für eine effektive Trennung dieser stark gebundenden lokalisierten angeregten Zustände (Exzitonen) ist eine Grenzfläche zwischen Molekülen mit unterschiedlichen Energieniveaus der Grenzorbitale erforderlich, sodass ein Elektron auf einem Akzeptor- und eine positive Ladung auf einem Donatormolekül entstehen. Diese Grenzschicht kann als planarer Heteroübergang durch zwei getrennte Schichten oder als Volumen-Heteroübergang in einer Mischschicht realisiert werden. Die Absorberschichten werden durch Elektroden kontaktiert, wobei es für effiziente Solarzellen erforderlich ist, dass diese einen ohmschen Kontakt ausbilden, da ansonsten Verluste zu erwarten sind. Diese Arbeit behandelt im Besonderen die elektrischen Prozesse einer organischen Solarzelle. Dafür wird ein eindimensionales Drift-Diffusionsmodell entwickelt, das den Transport von Exzitonen, deren Trennung an einer Grenzfläche und die Ladungsträgerdynamik beschreibt. Abgesehen von den Exzitonen gilt als weitere Besonderheit einer organischen Solarzelle, dass sie aus amorphen, intrinsischen und sehr schlecht leitfähigen Absorberschichten besteht. Elektrische Effekte sind an der Strom-Spannungskennlinie (I-U ) sichtbar, die in dieser Arbeit als Hauptvergleichspunkt zwischen experimentellen Solarzellendaten und den Simulationsergebnissen dient. Durch einen weitgehend qualitativen Vergleich können dominierende Prozesse bestimmt und mikroskopische Erklärungen gefunden werden. Ein wichtiger Punkt ist der schon erwähnte Kontakt zwischen Absorberschicht und Elektrode. Dort auftretende Energiebarrieren führen zu einem Einbruch im Solarzellenwirkungsgrad, der sich durch eine Verringerung der Leerlaufspanung und/oder S-förmigen Kennlinien (S-Knick) bemerkbar macht. Anhand einer systematischen Studie der Grenzfläche Lochleiter/Donator wird gezeigt, dass Energiebarrieren sowohl für die Ladungsträgerextraktion als auch für die -injektion zu S-Knicken führen können. Insbesondere die Tatsache, dass Injektionsbarrieren sich auch negativ auf den Photostrom auswirken, wird anhand von simulierten Ladungsträger- und elektrischen Feldprofilen erklärt. Das Aufstauen von Ladungsträgern an Extraktionsbarrieren wird durch Messungen transienter Photoströme bestätigt. Da S-Knicke in organischen Solarzellen im Allgemeinen häufig beobachtet werden, werden weitere Methoden vorgeschlagen, die die Identifikation der Ursachen ermöglichen. Dazu zählen I-U Messungen in Abhängigkeit von Temperatur und Schichtdicken. Als eine weitere Ursache von S-Knicken werden unausgeglichene Ladungsträgerbeweglichkeiten in einer Solarzelle mit flachem Übergang identifiziert und von den Barrierefällen unterschieden. Weiterer Forschungsgegenstand dieser Arbeit sind Mischschichtsolarzellen aus dem Donator-Farbstoff Zink-Phthalozyanin ZnPc und dem Akzeptor Fulleren C60. Dort wird beobachtet, dass die Leerlaufspannung vom Mischverhältnis abhängt. Ein Vergleich von Experiment und Simulation zeigt, dass sich das Ionisationspotenzial von ZnPc und dadurch die effektive Energielücke des Mischsystems ändern. Zusätzlich zu homogenen Mischschichten werden Solarzellen untersucht, die einen Gradienten im Mischungsverhältnis aufweisen. Die Vermutung liegt nahe, dass ein hoher Donatorgehalt am Löcherkontakt und ein hoher Akzeptorgehalt nahe des Elektronenkontakts die Ladungsträgerextraktion begünstigen. Dieser Effekt ist in dem hier untersuchten System allerdings vergleichsweise irrelevant gegenüber der Tatsache, dass der Gradient das Abfließen bzw. die Rekombination von Ladungsträgern am “falschen” Kontakt reduziert und somit die Leerlaufspannung erhöht. Der wichtigste intrinsische Verlustmechanismus einer Solarzelle ist die Rekombination von Ladungsträgern. Diese wird im letzten Teil der Arbeit anhand der ZnPc:C60 Solarzelle behandelt. Messungen der Leerlaufspannung in Abhängigkeit von der Beleuchtungsintensität zeigen, dass sich der dominierende Rekombinationsprozess mit zunehmender Intensität von Störstellenrekombination zu direkter Rekombination von freien Ladungsträgern verschiebt. Eine gezielte Variation des Absorptionsprofils in der Absorberschicht zeigt, dass die Ladungsträgerextraktionswahrscheinlickeit vom Ort der Ladungsträgergeneration abhängt. Dieser Effekt wird hervorgerufen durch unausgeglichene Elektronen- und Löcherbeweglichkeiten und äußert sich im Füllfaktor. Weitere Simulationsergebnisse bezüglich des Einflusses von Ladungsträgerbeweglichkeiten und verschiedener Rekombinationsmechanismen auf die I-U Kennlinie und die experimentelle Identifikation eines Photoshunts, der den Photostrom in Rückwärtsrichtung unter Beleuchtung dominiert, runden die Arbeit ab.:Abstract - Kurzfassung . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v 1 Introduction 1.1 Energy supply and climate change . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Development of (organic) photovoltaics . . . . . . . . . . . . . . . . . . 3 1.3 Structure and scope of this thesis . . . . . . . . . . . . . . . . . . . . . . 6 I Basics 2 Photovoltaic Energy Conversion 2.1 Fundamentals of solar thermal energy conversion . . . . . . . . . . .11 2.1.1 The solar spectrum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.1.2 Black-body irradiation . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14 2.1.3 Maximum power-conversion efficiency . . . . . . . . . . . . . . . . . 15 2.2 Basics of semiconductor physics . . . . . . . . . . . . . . . . . . . . . . 16 2.2.1 Band structure, electrons and holes . . . . . . . . . . . . . . . . . . 16 2.2.2 Quasi-Fermi levels and electrochemical potentials . . . . . . . . . .22 2.3 Transformation of thermal radiation into chemical energy . . . . . 28 2.4 From chemical energy to electrical energy . . . . . . . . . . . .. . . . . 29 2.5 Possible solar-cell realizations . . . . . . . . . . . . . . . . . . . . . . . . 33 2.5.1 The p-n junction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 2.5.2 Heterojunction and dye solar cells . . . . . . . . . . . . . . . . . . . . 36 2.5.3 The p-i-n concept with wide-gap transport layers . . . . . . . . . 37 2.6 Maximum efficiency – Shockley-Queisser limit . . . . . . . . . . . . . .38 2.7 Novel concepts and classification of solar cells . . . . . . . . . . . . . 41 3 Organic Solar Cells 3.1 Energetics of organic molecules . . . . . . . . . . . . . . . . . . . . . . . 43 3.1.1 From atoms to molecules . . . . . . . . . . . . . . . . . . . . . . . . . . 43 3.1.2 From single molecules to a molecular solid . . . . . . . . . . . . . . 50 3.2 Energy and charge transport in organic semiconductors . . . . . . 52 3.2.1 Exciton transport . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 3.2.2 Charge transport - Gaussian disorder model . . . . . . . . . . . . .53 3.3 Working principle of donor-acceptor heterojunction solar cells . .57 3.3.1 Particle losses, quantum efficiency, and photocurrent . . . . . . .57 3.3.2 Energy losses, potential energy, and photovoltage . . . . . . . . 62 3.3.3 Maximum power-conversion efficiency . . . . . . . . . . . . . . . . . 66 3.3.4 Understanding the J-V curve in the MIM picture . . . . . . . . . . .68 3.3.5 Introduction to analytical models describing the photocurrent 70 3.4 Metal-organic interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 3.4.1 Conventional metal-semiconductor interfaces: Barriers and Schottky contacts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 3.4.2 Metal-organic interfaces: Disorder and ICT . . . . . . . . . . . . . . 79 3.5 Experimental realization of small-molecule solar cells . . . . . . . . 80 3.5.1 Stacks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 3.5.2 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .83 3.5.3 Fabrication details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 3.6 Basic characterization methods . . . . . . . . . . . . . . . . . . . . . . . 92 3.6.1 Current-voltage characteristics . . . . . . . . . . . . . . . . . . . . . . 92 3.6.2 Spectrally resolved measurements . . . . . . . . . . . . . . . . . . . 93 3.6.3 Transient measurements . . . . . . . . . . . . . . . . . . . . . . . . . . 95 4 Modeling 4.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 4.2 The drift-diffusion model in general . . . . . . . . . . . . . . . . . . . . 99 4.2.1 Derivation and conditions . . . . . . . . . . . . . . . . . . . . . . . . . . 99 4.2.2 The Einstein Relation . . . . . . . . . . . . . . . . . . . . . . . . . . . . .103 4.2.3 Poisson’s equation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 4.2.4 Differential equation system . . . . . . . . . . . . . . . . . . . . . . . .105 4.3 Implementation of the algorithm . . . . . . . . . . . . . . . . . . . . . . 106 4.3.1 Basics of the algorithm and discretization . . . . . . . . . . . . . . 107 4.3.2 Calculation of the electric field . . . . . . . . . . . . . . . . . . . . . . 108 4.3.3 Calculation of rates of change . . . . . . . . . . . . . . . . . . . . . . 109 4.3.4 Calculation of the time step . . . . . . . . . . . . . . . . . . . . . . . . 111 4.3.5 Detection of steady state and transient currents . . . . . . . . . 111 4.4 Implemented models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 4.4.1 Charge carrier mobility . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 4.4.2 Recombination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 4.4.3 Traps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 4.4.4 Gaussian density of states . . . . . . . . . . . . . . . . . . . . . . . . 120 4.5 Contacts as boundary conditions . . . . . . . . . . . . . . . . . . . . . 121 4.6 Organic-organic interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . 124 4.6.1 Charge transport . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 4.6.2 Generation and recombination . . . . . . . . . . . . . . . . . . . . . . 127 4.7 The simulation tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 4.8 Verification with analytical solutions . . . . . . . . . . . . . . . . . . . 129 4.8.1 Single-carrier devices . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 4.8.2 The p-n junction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 4.9 Experimental determination of material properties . . . . . . . . . 136 4.10 Summary and main input parameters . . . . . . . . . . . . . . . . . 140 II Results and Discussion 5 Simulation Study on Single-Layer Bulk-Heterojunction Solar Cells 5.1 Investigated device structure and definitions . . . . . . . . . . . . . 144 5.2 On the optimum mobility, contact properties, and the open-circuit voltage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 5.2.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .146 5.2.2 Investigated mobility and recombination models . . . . . . . . . .147 5.2.3 Recombination only in the BHJ (selective contacts) . . . . . . . . 149 5.2.4 Recombination (also) at electrodes (non-selective contacts) . .155 5.2.5 Injection barriers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .158 5.2.6 Effect of energy-level bending on the open-circuit voltage . . . 161 5.3 Photocurrent and characteristic points in simulated J-V curves . .163 5.3.1 Negligible bulk recombination . . . . . . . . . . . . . . . . . . . . . . . .164 5.3.2 Bulk-recombination-limited photocurrent . . . . . . . . . . . . . . . 167 5.4 The effect of disorder on the open-circuit voltage . . . . . . . . . . .169 5.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .172 6 Influence of Injection and Extraction Barriers on Open-Circuit Voltage and J-V Curve Shape studied at a Variation of Hole Transport Layer and Donor Materials 6.1 Methodological approach . . . . . . . . . . . . . . . . . . . . . . . . . . . .174 6.2 Current-voltage data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 6.2.1 Fingerprints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 6.2.2 Current-voltage characteristics under illumination . . . . . . . . . 181 6.3 Detailed microscopic explanations . . . . . . . . . . . . . . . . . . . . . .181 6.3.1 Injection barriers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .184 6.3.2 Extraction barriers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .187 6.3.3 Comparison between flat and bulk heterojunction . . . . . . . . . 188 6.4 Current-voltage curves in a logarithmic plot . . . . . . . . . . . . . . .188 6.5 Detailed analysis of the material combination MeO-TPD and BPAPF as donor and hole transport layer . . . . . . . . . . . . . . . . . . . . . . . . . . 190 6.5.1 The interfaces BPAPF/MeO-TPD and MeO-TPD/BPAPF measured by photoelectron spectroscopy . . . . . . . . . . . . . . . . . . . . . . . . . . 190 6.5.2 Dependence of the J-V curve shape on layer thicknesses . . . . 195 6.5.3 Dependence of the S-kink on temperature . . . . . . . . . . . . . . 198 6.5.4 Transient measurements . . . . . . . . . . . . . . . . . . . . . . . . . . 200 6.6 Summary and final remarks . . . . . . . . . . . . . . . . . . . . . . . . . . 207 7 Imbalanced Mobilities causing S-shaped J-V Curves in Planar Heterojunction Solar Cells 7.1 Imbalanced mobilities in simulation . . . . . . . . . . . . . . . . . . . . . 209 7.2 Experimental verification . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214 7.2.1 Current-voltage characteristics . . . . . . . . . . . . . . . . . . . . . . 216 7.2.2 Transient photocurrents . . . . . . . . . . . . . . . . . . . . . . . . . . 219 7.3 Field-dependent exciton dissociation as an additional source of S-kinks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .221 7.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222 8 Open-Circuit Voltage and J-V Curve Shape of ZnPc:C60 Solar Cells with Varied Mixing Ratio and Hole Transport Layer 8.1 Experimental approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . .223 8.2 The open-circuit voltage . . . . . . . . . . . . . . . . . . . . . . . . . . . .225 8.3 The role of the hole transport layer and of doping . . . . . . . . . .228 8.4 Explaining the open-circuit voltage as a function of mixing ratio 230 8.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 9 Effect of Concentration Gradients in ZnPc:C60 Bulk Heterojunction Solar Cells 9.1 Investigated devices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 9.2 Current-voltage results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 9.2.1 Fill factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 9.2.2 Short-circuit current . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242 9.2.3 Open-circuit voltage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242 9.3 Voltage dependent external quantum efficiency data . . . . . . . . 245 9.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .247 10 Role of the Generation Profile and Recombination in ZnPc:C60 Solar Cells 10.1 Idea and solar-cell design . . . . . . . . . . . . . . . . . . . . . . . . . . 249 10.1.1 Absorption data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251 10.1.2 Simulated generation profiles . . . . . . . . . . . . . . . . . . . . . . 253 10.2 Correlation of fill factor with generation profile and imbalance in mobilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255 10.2.1 Current-voltage data . . . . . . . . . . . . . . . . . . . . . . . . . . . 255 10.2.2 Monochromatic J-V curves . . . . . . . . . . . . . . . . . . . . . . . . 258 10.2.3 Voltage dependent external quantum efficiency . . . . . . . . . 259 10.3 Recombination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261 10.3.1 Exponential region of dark J-V curves . . . . . . . . . . . . . . . . 261 10.3.2 J-V data dependent on illumination intensity . . . . . . . . . . . 265 10.3.3 Lifetime of charge carriers . . . . . . . . . . . . . . . . . . . . . . . . 271 10.4 Comparison with simulations . . . . . . . . . . . . . . . . . . . . . . . . 273 10.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278 11 Linear Saturation Behavior 11.1 Definition of the photoshunt . . . . . . . . . . . . . . . . . . . . . . . . 279 11.2 Quasi-linear photocurrent in simulation . . . . . . . . . . . . . . . . 280 11.3 Experimental approach and results . . . . . . . . . . . . . . . . . . . 281 11.3.1 Identification of the main source of the photoshunt . . . . . . 283 11.3.2 Investigation of the thickness dependence of the saturation 285 11.3.3 Photoshunt in flat heterojunction ZnPc/C60 solar cells . . . . 289 11.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292 III Summary and Outlook 12 Main Results 12.1 Interpretation of current-voltage curves . . . . . . . . . . . . . . . . 295 12.2 Stack design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300 12.3 Main conclusions on the applicability of the developed drift-diffusion simulation to organic solar cells . . . . . . . . . . . . . . . . . . . . . . . . . . 302 13 Further Analyses and Possible Extensions of the Simulation 13.1 Frequency response . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305 13.2 Reverse tunneling currents and tandem cells . . . . . . . . . . . . . 307 13.2.1 Reverse current . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 13.2.2 J-V curves of tandem cells . . . . . . . . . . . . . . . . . . . . . . . . 309 13.3 Further points to examine . . . . . . . . . . . . . . . . . . . . . . . . . . 311 Appendix A Lists A.1 List of symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315 A.2 List of abbreviations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318 A.3 List of constants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 B Simulation data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 C Experimental data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335 Acknowledgments - Danksagung 361

<p dir="ltr">The BRG1/BRM-associated factor (BAF) complexes, also called SWI/SNF, are multi-subunit chromatin remodelers that regulate chromatin compaction in an ATP-dependent manner. In the past decade, BAF complexes have been under the spotlight in cancer research, especially after proteomic analyses revealed the genes encoding the subunits are amongst the most frequently mutated genes in cancer. The present dissertation focuses on prostate cancer (PCa), a disease in which the role of the BAF subunits is increasingly being explored but is yet to be defined as a potential therapeutic target. According to the GLOBOCAN report, PCa is the second most frequent cancer in males worldwide. Since most of the variants of PCa rely on the androgen receptor (AR) axis, surgical or chemical castration and androgen deprivation therapy (ADT) are the main treatment strategies for PCa patients. Even though these therapeutic approaches prolong survival, reduce tumor burden, and relieve symptoms, PCa patients eventually relapse and develop castration resistant PCa (CRPC). At present, the mechanisms underlying ADT resistance are not fully understood, current efforts focus on finding new targets for PCa treatment.</p><p dir="ltr">In the projects included in this dissertation we explored the function of the PBAF complex, a BAF subtype, in a variety of models of PCa and its potential as a therapeutic target by inhibiting or depleting its different subunits. To do so we (i) developed the first inhibitors for BRD7 (a subunit unique to PBAF) and (ii) established cell-based assays in multiple PCa cell lines to study BRD7 and other PBAF unique subunits.</p><p dir="ltr">Bromodomain-containing proteins are readers of acetylated lysine and play important roles in cancer. Bromodomain-containing protein 7 (BRD7) has been implicated in multiple malignancies; however, there are no selective chemical probes to study its function in disease. Using crystal structures of BRD7 and BRD9 bromodomains (BDs) bound to BRD9-selective ligands, we identified a binding pocket exclusive to BRD7. We synthesized a series of ligands designed to occupy this binding region and identified two inhibitors with increased selectivity towards BRD7, 1-78 and 2-77, which bind with submicromolar affinity to the BRD7 BD. Our binding mode analyses indicate that these ligands occupy a uniquely accessible binding cleft in BRD7 and maintain key interactions with the asparagine and tyrosine residues critical for acetylated lysine binding. Finally, we validated the utility and selectivity of the compounds in cell-based models of prostate cancer.</p><p dir="ltr">There are three BAF complexes that have been biochemically characterized up to date: canonical BAF (cBAF), polybromo-associated BAF (PBAF) and GLTSCR1/like-containing BAF (GBAF or ncBAF). All BAF complexes are characterized by containing an ATPase and accessory subunits that may be shared between them or unique to each subtype. PBAF, the BAF subtype of interest of this dissertation, contains four unique subunits: BRD7, PBRM1, ARID2 and BAF45A. We showed that knocking down BRD7 and ARID2 leads to reduction of cell viability in PCa cells with ligand-dependent and independent AR signaling, while knocking down PBRM1 leads to reduction in viability of cells with only ligand-dependent AR signaling. We also performed a chromatin immunoprecipitation assay with BAF45A and observed that it does not colocalize with AR binding sites, indicating that the mechanism by which PBAF regulates AR signaling is indirect. This observation was further supported by the fact that knocking down BRD7 prevents expression of genes related to adaptive processes, but not AR target genes, in response to androgen treatment. Further mechanistic studies will aid in understanding the function of PBAF in PCa. However, overall, our results indicate that PBAF is a promising therapeutic target in PCa models expressing AR, including CRPC systems.</p>

Kleine Moleküle wie Treibhausgase, aber auch Distickstoff und Disauerstoff stehen im Fokus der chemischen Forschung. Solche Moleküle sind durch ihr Vorkommen in der Atmosphäre ubiquitär vorhanden, preiswert und könnten als Synthesebausteine für die Darstellung von komplexeren Molekülen verwendet werden. In dieser Arbeit wurde die Reaktion koordinativ ungesättigter Diketiminato-Nickelkomplexe ([LNi] Komplexe) mit kleinen Molekülen untersucht. Zunächst wurden die Mechanismen der N2-Aktivierung durch reduzierte [LtBuNiI]- und [LMe6NiI] Komplexe miteinander verglichen. Dabei konnte das distickstoffaktivierende Schlüsselintermediat identifiziert und strukturell charakterisiert werden. Weiter wurden die N2-Komplexe [(LtBuNiI)( 1 1 N2)] bzw. K2[(LtBuNiI)( 1 1 N2)], die Vorläufer für [LNiI]- und [LNi0]– Komplexfragmente darstellen, hinsichtlich ihrer Potentials zur Aktivierung der reaktionsträgen Treibhausgase SF6 und NF3 untersucht. Über Reaktionen von Übergangsmetallkomplexen mit NF3 war bis dahin noch nicht berichtet worden; zur Umsetzung von SF6 existierten wenige Publikationen, in denen aber sehr viele mechanistische Fragen offengeblieben sind. Die Mechanismen der SF6- und NF3-Aktivierung wurden durch Kombination einer Vielzahl von ex- und in situ Analysen beleuchtet. Im Falle der SF6 Aktivierung gelang es zudem, ein Nickel(I)-Intermediat zu isolieren. Ein Produkt beider Systeme war der Fluorido-Nickel(II)-Komplex [LtBuNiIIF], dessen Reaktionsverhalten ebenfalls studiert wurde. Doch nicht nur Komplexe mit Nickelatomen in niedrigen Oxidationsstufen erwiesen sich für die Aktivierung kleiner Moleküle geeignet, sondern auch kationische [LtBuNiII(D)]+-Komplexe. Diese Nickel(II)-Komplexe reagierten mit fluorierten Molekülen, N2O sowie O2, was bemerkenswert ist, da Nickel(II)-Komplexe üblicherweise inert gegenüber O2 sind. Im Zuge der O2-Studien wurde ein metastabiler Oranoperoxidkomplex isoliert und strukturell charakterisiert, was beispiellos in der Literatur ist. / Current research focuses on the activation of small molecules like greenhouse gases, thermodynamically stable molecules like N2 and kinetically stabilized molecules like O2, which are all abundant in the atmosphere. Thus, it appears to be alluring to use them as cheap and readily available building blocks for the synthesis of value-added compounds. This dissertation deals with the reaction of low-coordinate diketiminate nickel complexes [LNi] and such small molecules. Initially, the mechanisms of the dinitrogen activation by reduced [LtBuNiI] and [LMe6NiI] complexes were studied. As a result, the key intermediate [(LtBuNiI)x(3 Br)xKx] (x > 1) was identified and structurally characterized. Subsequently, the nickel complexes [(LtBuNiI)( 1 1 N2)] and K2[(LtBuNiI)( 1 1 N2)], which represent sources for [LtBuNiI] and [LtBuNi0]– moieties, were applied to the activation of the inert, but very efficient greenhouse gases SF6 and NF3. Prior to these investigations, no transition metal complex had been reported to react with NF3. Publications dealing with the conversion of SF6 had been scarce, too, while at same time, the mechanisms involving its activation had been speculative. The mechanisms of the NF3 and SF6 activation reactions were deduced combining numerous ex-situ and in situ analytical methods. In case of the SF6 activation, even an intermediate could be isolated. In both systems, the nickel fluoride complex [LtBuNiIIF] was formed and its reaction behaviour was also studied. Furthermore, not only [LtBuNiI]- and [LtBuNi0]– moieties proved to be reactive towards small molecules, but also cationic [LtBuNiII(D)]+ complexes, which were specifically developed for this purpose. The reactions of [LtBuNiII(D)]+ complexes with fluorinated molecules (e. g. PhF, NF3), O2 and N2O were studied. In course of the O2 activation, a metastable organoperoxide complex was isolated and structurally characterized, which is unparalleled in the literature.